NOW you can let AI agents make code changes without losing engineering control.

Rough idea Plan execution validation record better planning

RunWield runs entirely on your machine. Use any model subscription or API key. No vendor lock-in.

curl -fsSL https://raw.githubusercontent.com/gandazgul/runwield/main/install.sh | bash

How it works

Introducing RunWield

From chat and hope, to plan and prove.

Finally, a coding harness optimized for more than just getting an agent spitting out code as fast as possible.

Built for

Engineers who want more from agents than faster code generation.

  • 01 Experienced developers working in real, existing codebases
  • 02 Teams learning where agents should collaborate and where they can run
  • 03 Anyone turning ambiguous product or engineering work into validated change
Collaborative planning

Planning gets better when everyone can point at the same thing.

A Plan is not ceremony. It is the shared working surface where intent becomes specific enough for agents to act without guessing.

RUNWIELD / PLAN REVIEW
RunWield Plan Review showing a plan, table of contents, inline annotation, execution agent, collaboration mode, and approval action
Plan Review Annotate, redline, attach context, choose how the work should run, and keep the Plan beside execution.
Proof before done

The agent said it's done. RunWield delivers proof.

  1. 01
    Mechanical validation

    Tests, types, lint, formatting, and project-specific checks run automatically. Failures go back through automatic repair.

  2. 02
    Automated LLM reviewer

    An independent reviewer compares the implementation with the Plan. Material findings trigger another repair pass.

  3. 03
    Human review, guided

    Inspect the diff, follow review cues, annotate exact lines, and approve only when the evidence supports the result.

RUNWIELD / CODE REVIEW
RunWield Code Review showing a side-by-side diff, changed files, inline annotation, Guided Review status, and approval action
Code Review Review the exact change, annotate the diff, and keep feedback and repair inside the same workflow.
Try it with me

Help shape a better way to build with agents.

We're looking for experienced developers using AI on real codebases.

Install in 30 seconds

curl -fsSL https://raw.githubusercontent.com/gandazgul/runwield/main/install.sh | bash

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